Tech Stack

Description

You will build ML models for scalable consumer-based services, analyze large datasets, and collaborate with cross-functional teams to translate insights into actionable solutions.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Physics, or related field
• 5+ years of professional experience deploying models
• Strong experience in building and deploying predictive models and recommendation systems
• Proficiency in machine learning techniques (regression, classification, clustering, ensemble methods)
• Proficiency in Python or R with libraries like NumPy, Pandas, or SciPy

Responsibilities

• Explore and analyze large volumes of data to gain insights and identify patterns
• Design and develop models using statistical and machine-learning techniques
• Prepare data for modeling including gathering, integrating, and transforming data
• Assess model performance using appropriate evaluation metrics and conduct testing
• Fine-tune models to optimize performance, improve accuracy, and reduce bias